Another noteworthy consequence of contextualized embeddings introduction is the generalization of models. While many models are developed for a particular task, they can be effectively utilized in order to solve other tasks. Our main contribution is the utilization of two such models for new tasks, namely LaserTagger [1]}, initially developed for summarization, which is used for span identification, while R-BERT [2]}, originally developed for relation extraction, is used for span classification.
